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GAP-Gen: Guided Automatic Python Code Generation. (arXiv:2201.08810v1 [cs.PL])
Jan. 24, 2022, 2:10 a.m. | Junchen Zhao, Yurun Song, Junlin Wang, Ian G. Harris
cs.LG updates on arXiv.org arxiv.org
Automatic code generation from natural language descriptions can be highly
beneficial during the process of software development. In this work, we propose
GAP-Gen, an automatic code generation method guided by Python syntactic
constraints and semantic constraints. We first introduce Python syntactic
constraints in the form of Syntax-Flow, which is a simplified version of
Abstract Syntax Tree (AST) reducing the size and high complexity of Abstract
Syntax Tree but maintaining the crucial syn-tactic information of Python code.
In addition to Syntax-Flow, …
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